Detection crack in image using Otsu method and multiple filtering in image processing techniques

Cracks in concrete structures can indicate major structural problems and can harm the appearance of monolithic construction. This article presents a new approach in image processing for detecting cracks in images of concrete structures. This method involves three steps: First; change the image to a gray and using edge of the image and use Sobel's method and development of an image filter using Sobel's filter for detecting cracks. Second; using a suitable threshold in a binary image and classifies all pixels two categorizations background and foreground, and gets the region area after that use filter area and changes the area if less than the specific number to back. Third; after using Sobel's filtering to elimination of residual noise, and detecting major cracks using Otsu method. This paper describes a method for detection crack patterns in cement use image processing techniques. The advantage of this method is clearly and accurate detection of cracks in images. Experimental work shows that our method is improved relatively to the other widely used techniques. (C) 2015 Published by Elsevier GmbH.